An Ultrasonic Contactless Sensor for Breathing Monitoring

The monitoring of human breathing activity during a long period has multiple fundamental applications in medicine. In breathing sleep disorders such as apnea, the diagnosis is based on events during which the person stops breathing for several periods during sleep. In polysomnography, the standard for sleep disordered breathing analysis, chest movement and airflow are used to monitor the respiratory activity. However, this method has serious drawbacks. Indeed, as the subject should sleep overnight in a laboratory and because of sensors being in direct contact with him, artifacts modifying sleep quality are often observed. This work investigates an analysis of the viability of an ultrasonic device to quantify the breathing activity, without contact and without any perception by the subject. Based on a low power ultrasonic active source and transducer, the device measures the frequency shift produced by the velocity difference between the exhaled air flow and the ambient environment, i.e., the Doppler effect. After acquisition and digitization, a specific signal processing is applied to separate the effects of breath from those due to subject movements from the Doppler signal. The distance between the source and the sensor, about 50 cm, and the use of ultrasound frequency well above audible frequencies, 40 kHz, allow monitoring the breathing activity without any perception by the subject, and therefore without any modification of the sleep quality which is very important for sleep disorders diagnostic applications. This work is patented (patent pending 2013-7-31 number FR.13/57569).

[1]  Torsten Bumgarner,et al.  Biomechanics and Motor Control of Human Movement , 2013 .

[2]  D. K. Arvind,et al.  Simultaneous Activity and Respiratory Monitoring Using an Accelerometer , 2011, 2011 International Conference on Body Sensor Networks.

[3]  L. Kovasznay,et al.  Non-linear interactions in a viscous heat-conducting compressible gas , 1958, Journal of Fluid Mechanics.

[4]  Michael Norris,et al.  Design and development of medical electronic instrumentation : a practical perspective of the design, construction, and test of medical devices , 2004 .

[5]  Masayuki Ishihara,et al.  Non-contact respiratory monitoring system using a ceiling-attached microwave antenna , 2006, Medical and Biological Engineering and Computing.

[6]  Se Dong Min,et al.  Noncontact Respiration Rate Measurement System Using an Ultrasonic Proximity Sensor , 2010, IEEE Sensors Journal.

[7]  D. K. Arvind,et al.  Accelerometer-Based Respiratory Measurement During Speech , 2011, 2011 International Conference on Body Sensor Networks.

[8]  Fernando Lund,et al.  Ultrasound as a probe of turbulence , 1989 .

[9]  W. L. Cooley,et al.  Impedance pneumography. Comparison between chest impedance changes and respiratory volumines in 11 healthy volunteers. , 1972, Chest.

[10]  R. Schafer,et al.  On the use of the I 0 -sinh window for spectrum analysis , 1980 .

[11]  Marco Aiello,et al.  Human Breath Detection using a Microphone , 2013 .

[12]  Erwin Biebl,et al.  Multi-frequency sensor for remote measurement of breath and heartbeat , 2006 .

[13]  Myoungho Lee,et al.  A study on a non-contacting respiration signal monitoring system using Doppler ultrasound , 2007, Medical & Biological Engineering & Computing.

[14]  L. Boccanfuso,et al.  Remote measurement of breathing rate in real time using a high precision, single-point infrared temperature sensor , 2012, 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob).

[15]  K. Chon,et al.  Respiratory rate extraction from pulse oximeter and electrocardiographic recordings. , 2011, Physiological measurement.

[16]  Antonio Lázaro,et al.  Techniques for Clutter Suppression in the Presence of Body Movements during the Detection of Respiratory Activity through UWB Radars , 2014, Sensors.

[17]  Carlo Atzeni,et al.  Non-Contact Detection of Breathing Using a Microwave Sensor , 2009, Sensors.

[18]  Masayuki Ishihara,et al.  A non-contact vital sign monitoring system for ambulances using dual-frequency microwave radars , 2008, Medical & Biological Engineering & Computing.